Commercial Bancgroup (CBK) EPS (Diluted) (2024 - 2026)
Commercial Bancgroup's EPS (Diluted) was $0.79 in Q3 2026, up 2.6% from $0.77 a year earlier and up 6.4% from the prior quarter.
Commercial Bancgroup (CBK) EPS (Diluted) (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Commercial Bancgroup's EPS (Diluted) was $2.97 through Sep 30, 2026, up 12.4% year-over-year; for FY2025, it came in at $2.95, up 14.5% from FY2024.
- In earlier years, EPS (Diluted) was $2.58 in FY2024.
- Quarterly EPS (Diluted) has moved between $0.44 (Q4 2024) and $0.80 (Q4 2025) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in four of the last five quarters, with growth averaging 17.7%.
- Per Business Quant data, CBK's EPS (Diluted) in the three quarters before Q3 2026 was $0.75 (Q2 2026), $0.70 (Q1 2026) and $0.80 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.02 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.06 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | Commercial Bancgroup | 452.96 Mn | 452.96 Mn | - | 0.79 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.79 |
| Jun 30, 2026 | 0.75 |
| Mar 31, 2026 | 0.70 |
| Dec 31, 2025 | 0.80 |
| Sep 30, 2025 | 0.77 |
| Jun 30, 2025 | 0.73 |
| Mar 31, 2025 | 0.72 |
| Dec 31, 2024 | 0.44 |
| Sep 30, 2024 | 0.75 |
Commercial Bancgroup EPS (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted&ticker=CBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "CBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=CBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();